The research notebook
Ecommerce insights, research, and practical analysis.
Analysis, frameworks, experiments, and practical ways to use AI to understand customers, validate products, analyze competitors, and investigate ecommerce problems.

When the Numbers Aren’t Enough: Why Ecommerce Diagnosis Needs Customer Evidence
Ecommerce metrics can show that something changed, but they often cannot explain what customers experienced. Learn when customer evidence can strengthen an ecommerce investigation and how AI can help uncover deeper signals from unstructured data.

Why Small Ecommerce Stores Have a Different Analytics Problem
Small ecommerce stores don't simply have less data. They often have too little quantitative evidence for numbers to explain the business on their own. Here's why customer reviews, conversations, behavior, and other unstructured evidence can matter more.

Your Ecommerce Dashboard Can Tell You What Changed. It Can't Tell You Why.
Ecommerce analytics can show that something changed, but the number itself rarely explains why. Learn how to investigate ecommerce problems using data as evidence, customer signals as context, and AI as a tool for deeper analysis.

How to Choose Product Ideas When AI Creates Too Many Options | Miyeta
AI makes product idea generation effortless, creating option overload. Here is a framework for ecommerce teams to evaluate demand signals, balance validation risk, and allocate test capacity.

Why Most Website Audits Don't Follow the Buying Decision | Miyeta
Most website audits inspect pages, components, and usability. A shopper experiences something different: a sequence of questions, doubts, comparisons, and decisions. Here's why following that decision can reveal problems a traditional audit misses.

What Is a Purchase Blocker? A Better Way to Think About Ecommerce Conversion Problems | Miyeta
A purchase blocker is more than a bad UX element. It is anything that creates enough uncertainty, doubt, or lack of value to stop a shopper from continuing toward a purchase.

What Should an AI Shopper Look for on an Ecommerce Product Page? | Miyeta
A product page is more than a collection of product details. An AI shopper should look for the information, proof, context, and missing answers that shape a real buying decision.

What Does a Shopper Actually Do Before Buying From an Ecommerce Store? | Miyeta
A real shopper rarely moves straight from a product page to checkout. They look for relevance, proof, value, and reasons to trust the purchase. Here's what actually happens during the buying decision—and how AI can simulate that journey.

Can AI Actually Shop Your Store Like a Customer? | Miyeta
What happens when AI stops auditing your ecommerce site and actually shops it? Explore AI shopper simulation, buyer perspectives, purchase blockers, and evidence-based CRO.